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» Improving Case-Based Recommendations Using Implicit Feedback
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FLAIRS
2006
13 years 5 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
13 years 10 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
13 years 5 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park
SIGIR
2012
ACM
11 years 6 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
ADAPTIVE
2007
Springer
13 years 10 months ago
Case-Based Recommendation
Abstract. Data Mining, or Knowledge Discovery as it is also known, is becoming increasingly useful in a wide variety of applications. In the following paper, we look at its use in ...
Barry Smyth